Artificial intelligence (AI) is a field of computer science that makes it possible for machines, programs, and other systems to replicate human behavior and intellect through technology for communication interactions. The major adoption of AI technology is driven by the integration of sophisticated algorithms to understand the information and perform various tasks automatically. Moreover, the use of AI in cyber security enables professionals to examine, research, and identify cybercrime aspects including facial recognition software, speech recognition software, and Google's search engine. AI development enhances cyber security tools and is used to deal with unauthorized access.
Moreover, AI in cybersecurity solutions enhances the privacy and security of sensitive data, minimizing the possibility of data breaches, unauthorized access to data, and hostile entities' monitoring. Additionally, it assists individuals and organizations in safeguarding important data, following data protection laws, and maintaining the privacy of their email communications. AI in cyber security is built to react to cyberattacks in moments or less. The approach is broadly relevant to fraud prevention strategies, vulnerability analysis, and security management.
In addition, there are several advantages to using AI technology, including gains in production and efficiency. AI-powered solutions can continuously monitor systems, endpoints, and networks, enabling swift response and real-time visibility into any security breaches. This further leads to more accurate and effective security operations. In addition, the increase in demand for behavioral analysis in several industries further contributes to driving growth of the global market. The AI systems are more trained, that further reduced the chances of false positives by improving accuracy of the cybersecurity solutions. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. In addition, the integration of intelligent AI solutions in various applications has the potential to create several benefits for businesses and end users. Moreover, these numerous benefits provide enhanced customer convenience and a better security experience. Consequently, AI in cybersecurity technology is gaining significant adoption to increase the use of automation systems among business operators. These factors actively impact the growth of the market in the forecast period. Additionally, the growing trend of digitally enabled solutions is the major factor driving the market growth.
Also, the increasing frequency and complexity of cyberattacks have led enterprises to seek advanced and innovative solutions for defense, which are further expected to contribute to the growth of global market. Moreover, the surge in usage of IoT devices in various applications and rising amount of data generated by these internet devices creates lucrative opportunities for the global AI in cybersecurity market. Moreover, growing demand for flexible security services across businesses is expected to fuel the growth of the market during the forecast period. Furthermore, the rise in visualization tools for security data is also arising, which further is expected to provide lucrative growth opportunities for the market in the forecast period.
Furthermore, the rise in demand for enhanced security solutions and the increasing number of cyber-attacks in several industries positively impacts the growth of the market in the future. In addition, the rising adoption of digitalization in security solutions is driving global market growth. However, the high implementation cost of AI in cybersecurity solutions, and the dearth of skilled cybersecurity experts and education hamper market growth. Furthermore, increasing investments and innovation strategies and the surge in demand for real-time threat detection create opportunities for semantic web market growth.
The AI in cybersecurity market is segmented into the offering, deployment mode, security type, technology industry vertical, and region. By offering, it is bifurcated into hardware, software and service. By deployment mode, it is divided into on-premise and cloud. By security type, it is categorized into network security, endpoint security, application security, and cloud security. By technology, it is segregated into machine learning (ML), natural language processing (NLP), and content-aware computing. By industry vertical, the market is classified into BFSI, retail and e-commerce, healthcare, automotive & transportation, government and defense, manufacturing, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the global AI in cybersecurity market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include Intel Corporation, IBM Corporation, NVIDIA Corporation, Samsung Electronics Co. Ltd., Amazon Web Services, Inc., Palo Alto Networks, Inc., Microsoft Corporation, Cisco Systems, Inc., Micron Technology Inc., and Gen Digital Inc.
Moreover, AI in cybersecurity solutions enhances the privacy and security of sensitive data, minimizing the possibility of data breaches, unauthorized access to data, and hostile entities' monitoring. Additionally, it assists individuals and organizations in safeguarding important data, following data protection laws, and maintaining the privacy of their email communications. AI in cyber security is built to react to cyberattacks in moments or less. The approach is broadly relevant to fraud prevention strategies, vulnerability analysis, and security management.
In addition, there are several advantages to using AI technology, including gains in production and efficiency. AI-powered solutions can continuously monitor systems, endpoints, and networks, enabling swift response and real-time visibility into any security breaches. This further leads to more accurate and effective security operations. In addition, the increase in demand for behavioral analysis in several industries further contributes to driving growth of the global market. The AI systems are more trained, that further reduced the chances of false positives by improving accuracy of the cybersecurity solutions. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. In addition, the integration of intelligent AI solutions in various applications has the potential to create several benefits for businesses and end users. Moreover, these numerous benefits provide enhanced customer convenience and a better security experience. Consequently, AI in cybersecurity technology is gaining significant adoption to increase the use of automation systems among business operators. These factors actively impact the growth of the market in the forecast period. Additionally, the growing trend of digitally enabled solutions is the major factor driving the market growth.
Also, the increasing frequency and complexity of cyberattacks have led enterprises to seek advanced and innovative solutions for defense, which are further expected to contribute to the growth of global market. Moreover, the surge in usage of IoT devices in various applications and rising amount of data generated by these internet devices creates lucrative opportunities for the global AI in cybersecurity market. Moreover, growing demand for flexible security services across businesses is expected to fuel the growth of the market during the forecast period. Furthermore, the rise in visualization tools for security data is also arising, which further is expected to provide lucrative growth opportunities for the market in the forecast period.
Furthermore, the rise in demand for enhanced security solutions and the increasing number of cyber-attacks in several industries positively impacts the growth of the market in the future. In addition, the rising adoption of digitalization in security solutions is driving global market growth. However, the high implementation cost of AI in cybersecurity solutions, and the dearth of skilled cybersecurity experts and education hamper market growth. Furthermore, increasing investments and innovation strategies and the surge in demand for real-time threat detection create opportunities for semantic web market growth.
The AI in cybersecurity market is segmented into the offering, deployment mode, security type, technology industry vertical, and region. By offering, it is bifurcated into hardware, software and service. By deployment mode, it is divided into on-premise and cloud. By security type, it is categorized into network security, endpoint security, application security, and cloud security. By technology, it is segregated into machine learning (ML), natural language processing (NLP), and content-aware computing. By industry vertical, the market is classified into BFSI, retail and e-commerce, healthcare, automotive & transportation, government and defense, manufacturing, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the global AI in cybersecurity market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include Intel Corporation, IBM Corporation, NVIDIA Corporation, Samsung Electronics Co. Ltd., Amazon Web Services, Inc., Palo Alto Networks, Inc., Microsoft Corporation, Cisco Systems, Inc., Micron Technology Inc., and Gen Digital Inc.
Key Benefits For Stakeholders
- The study provides an in-depth analysis of the AI in cybersecurity market forecast along with the current and future trends to explain the imminent investment pockets.
- Information about key drivers, restraints, and opportunities and their impact analysis on AI in cybersecurity market trends is provided in the report.
- The Porter’s five forces analysis illustrates the potency of the buyers and suppliers operating in the industry.
- The quantitative analysis of the AI in cybersecurity market from 2022 to 2032 is provided to determine the market potential.
Additional benefits you will get with this purchase are:
- Quarterly Update and* (only available with a corporate license, on listed price)
- 5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
- Free Upcoming Version on the Purchase of Five and Enterprise User License.
- 16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
- 15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
- Free data Pack on the Five and Enterprise User License. (Excel version of the report)
- Free Updated report if the report is 6-12 months old or older.
- 24-hour priority response*
- Free Industry updates and white papers.
Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)
- Investment Opportunities
- Technology Trend Analysis
- Regulatory Guidelines
- Strategic Recommedations
- Expanded list for Company Profiles
- SWOT Analysis
Key Market Segments
By Offering
- Hardware
- Software
- Service
By Deployment Mode
- On-premise
- Cloud
By Security Type
- Network Security
- Endpoint Security
- Application Security
- Cloud Security
By Technology
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Context-aware Computing
By Industry Vertical
- BFSI
- Retail and E-commerce
- Healthcare
- Automotive and Transportation
- Government and Defense
- Manufacturing
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
- Key Market Players
- NVIDIA Corporation
- Amazon Web Services, Inc.
- Microsoft Corporation
- Cisco Systems, Inc.
- Micron Technology Inc.
- Intel Corporation
- Palo Alto Networks, Inc.
- Gen Digital Inc.
- IBM Corporation
- Samsung Electronics Co. Ltd.
Please note:
- Online Access price format is valid for 60 days access. Printing is not enabled.
- PDF Single and Enterprise price formats enable printing.
Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: AI IN CYBERSECURITY MARKET, BY OFFERING
CHAPTER 5: AI IN CYBERSECURITY MARKET, BY DEPLOYMENT MODE
CHAPTER 6: AI IN CYBERSECURITY MARKET, BY SECURITY TYPE
CHAPTER 7: AI IN CYBERSECURITY MARKET, BY TECHNOLOGY
CHAPTER 8: AI IN CYBERSECURITY MARKET, BY INDUSTRY VERTICAL
CHAPTER 9: AI IN CYBERSECURITY MARKET, BY REGION
CHAPTER 10: COMPETITIVE LANDSCAPE
CHAPTER 11: COMPANY PROFILES
List of Tables
List of Figures
Executive Summary
According to the report, the ai in cybersecurity market was valued at $19.2 billion in 2022, and is estimated to reach $154.8 billion by 2032, growing at a CAGR of 23.6% from 2023 to 2032.The AI in Cybersecurity Market is likely to experience a significant growth rate of 23.6% from 2023-2032, owing to the rise in market demand for AI in cybersecurity technology solutions in several industries
Artificial intelligence (AI) is a field of computer science that makes it possible for machines, programs, and other systems to replicate human behavior and intellect through technology for communication interactions. In addition, several large and small-sized enterprises are increasingly employing AI in cybersecurity solutions to expand their security services. Moreover, in the financial sector, AI examines user behavior and transaction data to identify trends that may represent fraud, assisting financial institutions in the detection and prevention of fraud.
Furthermore, there are several advantages to using AI technology, including gains in production and efficiency. AI-powered solutions can continuously monitor systems, endpoints, and networks, enabling swift response and real-time visibility into any security breaches. This further leads to more accurate and effective security operations. In addition, the increase in demand for behavioral analysis in several industries further contributes to driving growth of the global market. The AI systems are more trained, that further reduced the chances of false positives by improving accuracy of the cybersecurity solutions. Such enhanced factors are expected to provide lucrative opportunities for market growth during the forecast period. In addition, the integration of intelligent AI solutions in various applications has the potential to create several benefits for businesses and end users. Moreover, these numerous benefits provide enhanced customer convenience and a better security experience. Consequently, AI in cybersecurity technology is gaining popularity due to the increase the use of automation systems among business operators. These factors actively impact the growth of the market in the forecast period. Additionally, the growing trend of digitally enabled solutions is the major factor driving the market growth.
Moreover, the rise in demand for enhanced security solutions and the increasing number of cyber-attacks in several industries positively impacts the growth of the market in the future. In addition, the rising adoption of digitalization in security solutions is driving global market growth. However, the high implementation cost of AI in cybersecurity solutions, and the dearth of skilled cybersecurity experts and education hamper market growth. Furthermore, increasing investments and innovation strategies and the surge in demand for real-time threat detection create opportunities for semantic web market growth.
The AI in cybersecurity market is segmented into the offering, deployment mode, security type, technology industry vertical, and region. By offering, it is bifurcated into hardware, software and service. By deployment mode, it is divided into on-premise and cloud. By security type, it is categorized into network security, endpoint security, application security, and cloud security. By technology, it is segregated into machine learning (ML), natural language processing (NLP), and content-aware computing. By industry vertical, the market is classified into BFSI, retail and e-commerce, healthcare, automotive & transportation, government and defense, manufacturing, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The market players operating in the global AI in cybersecurity market. This report further outlines the current trends and key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features the strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of key market players to increase their market share and sustain intense competition in the industry. The key players operating in the market include Intel Corporation, IBM Corporation, NVIDIA Corporation, Samsung Electronics Co. Ltd., Amazon Web Services, Inc., Palo Alto Networks, Inc., Microsoft Corporation, Cisco Systems, Inc., Micron Technology Inc., and Gen Digital Inc. For instance, in April 2021, NVIDIA launched NVIDIA Morpheus application framework, which provides cybersecurity solutions with a complete suite of accelerated AI skills that detect and prevent security threats. In addition, in March 2021, IBM launched new and enhanced services designed to help organizations manage the cloud security strategy, policies and controls across hybrid cloud environments.
Key Market Insights
By offering, the software segment was the highest revenue contributor to the market in 2022, and is estimated to reach $87.39 billion by 2032, with a CAGR of 26.0%.By deployment mode, the on-premise segment dominated the global market share in 2022, and is estimated to reach $81.99 billion by 2032, with a CAGR of 21.7%, However, the cloud segment is expected to be the fastest growing segment with a CAGR of 26.2% during the forecast period.
By security type, the network security segment dominated the global market share in 2022, and is estimated to reach $50.46 billion by 2032, with a CAGR of 21.2%, However, the cloud security segment is expected to be the fastest growing segment with a CAGR of 27.4% during the forecast period.
By technology, the machine learning segment was the highest revenue contributor to the market in 2022, and is estimated to reach $66.29 billion by 2032, with a CAGR of 21.0%. However, the context-aware computing segment is estimated to be the fastest-growing segment with a CAGR of 27.1% during the forecast period.
By industry vertical, the BFSI segment was the highest revenue contributor to the market in 2022, and is estimated to reach $29.92 billion by 2032, with a CAGR of 18.1%. However, the retail and e-commerce segment is estimated to be the fastest-growing segment with a CAGR of 29.1% during the forecast period.
Region wise, North America was the highest revenue contributor, accounting for $7.20 billion in 2022 and is estimated to reach $44.81 billion by 2032, with a CAGR of 20.4%.
Companies Mentioned
- NVIDIA Corporation
- Amazon Web Services, Inc.
- Microsoft Corporation
- Cisco Systems, Inc.
- Micron Technology Inc.
- Intel Corporation
- Palo Alto Networks, Inc.
- Gen Digital Inc.
- IBM Corporation
- Samsung Electronics Co. Ltd.
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
LOADING...
